Proposing a new framework for analyzing the severity of meteorological drought

The quantitative description of meteorological drought from various geographical locations and indicators is crucial for early drought warning to avoid its negative impacts. Therefore, the current study proposes a new framework to comprehensively accumulate spatial and temporal information for meteorological drought from various stations and drought indicators (indices). The proposed framework is based on two major components such as the Monthly-based Monte Carlo Feature Selection (MMCFS,) and Monthly-based Joint Index Weights (MJIW). Besides, three commonly used SDI are jointly assessed to quantify drought for selected geographical locations. Moreover, the current study uses the monthly data from six meteorological stations in the northern region for 47 years (1971-2017) for calculating SDI values. The outcomes of the current research explicitly accumulate regional spatiotemporal information for meteorological drought. In addition, results may serve as an early warning to the effective management of water resources to avoid negative drought impacts in Pakistan.

Automated summary

The study proposes a new framework to accumulate spatial and temporal information for meteorological drought from various stations and indicators. The framework utilizes the MMCFS and MJIW techniques to assess the drought using three commonly used SDI. By using monthly data from six meteorological stations in the northern region for 47 years, the study provides explicit spatiotemporal information on meteorological drought. The results can serve as an early warning for effective water resource management to mitigate negative drought impacts in Pakistan.